Python 如何打印出一个value_counts后的另一列

我正在学习Pandas 和Python .

我有这个数据框:

dfsupport = pd.DataFrame({'Date': ['8/12/2020','8/12/2020','13/1/2020','24/5/2020','31/10/2020','11/7/2020','11/7/2020','4/4/2020','1/2/2020'],
                            'Category': ['Table','Chair','Cushion','Table','Chair','Mats','Mats','Large','Large'],
                            'Sales': ['1 table','3chairs','8 cushions','3Tables','12 Chairs','12Mats','4Mats','13 Chairs and 2 Tables', '3 mats, 2 cushions 4@chairs'],
                            'Paid': ['Yes','Yes','Yes','Yes','No','Yes','Yes','No','Yes'],
                            'Amount': ['93.78','$51.99','44.99','38.24','£29.99','29 21 only','18','312.8','63.77' ]
                            })

这将产生:

         Date Category                        Sales Paid Amount
0   8/12/2020    Table                      1 table  Yes  93.78
1   8/12/2020    Chair                      3chairs  Yes  51.99
2   13/1/2020  Cushion                   8 cushions  Yes  44.99
3   24/5/2020    Table                      3Tables  Yes  38.24
4  31/10/2020    Chair                    12 Chairs   No  29.99
5   11/7/2020     Mats                       12Mats  Yes  29.21
6   11/7/2020     Mats                        4Mats  Yes     18
7    4/4/2020    Large       13 Chairs and 2 Tables   No  312.8
8    1/2/2020    Large  3 mats, 2 cushions 4@chairs  Yes  63.77

我想找到卖得最多的日期，所以我跑了:

print("######\n",dfsupport['Date'].value_counts().max())

这提供了:

2

我现在想要做的是打开这2个包，找出哪些日期是在这些情况下发生的，以及在每个情况下发生了哪些"销售".

我被卡住了，不知道如何打印出那些专栏.希望能得到一些指导.